most citedAdversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CL2020★ 2 cited

Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis

Yong Dai, Jian Liu, Xiancong Ren +1

Multi-source unsupervised domain adaptation (MS-UDA) for sentiment analysis (SA) aims to leverage useful information in multiple source domains to help do SA in an unlabeled target…